Frontiers in veterinary science
From data silos to actionable insights: a comparative evaluation of data access models and practical guidelines for animal health surveillance
By Noor S, Taelman R, Degroote J and 8 others.
Abstract
Background
Effective livestock disease surveillance depends on scalable, privacy-conscious access to distributed diagnostic data, yet current systems are constrained by fragmented datasets, inconsistent formats, and limited interoperability.
Objective
This paper compares three approaches for accessing distributed animal health data: direct data sharing, centralized access, and federated access using Solid Pods. The comparison covers architectural properties, query performance benchmarks, and the FAIR (Findable, Accessible, Interoperable, Reusable) maturity of the data artifacts produced by each approach, with the aim of providing practical guidance for choosing the right strategy in livestock health surveillance.
